Longitudinal methods for analyzing green crime

Authors

• Michael A. Long, Oklahoma State University
• Paul B. Stretesky, Northumbria University, UK
• Kimberly L. Barrett, Eastern Michigan University

Document Type

Book Chapter

Publication Date

2019

Department/School

Sociology, Anthropology, and Criminology

Publication Title

Quantitative Studies in Green and Conservation Criminology: The Measurement of Environmental Harm and Crime

Abstract

Many types of green crime can and should be studied over time, and temporal models provide a useful mechanism for understanding trends in and explaining factors that impact the occurrence of green crimes. This chapter examines how panel data can be used to analyze issues in green criminology and discusses the following statistical concepts and methods: fixed-effects, random-effects, and multilevel models for change and appropriate use of diagnostics tests. To illustrate these methods, we provide examples employing CITES data on the wildlife trade using the statistical package Stata (v.15).

Comments

K. L. Barrett is a faculty member in EMU's Department of Sociology, Anthropology, and Criminology.

Recommended Citation

Long, M. A., Stretesky, P. B., & Barrett, K. L. (2019). Longitudinal methods for analyzing green crime. In M. J. Lynch & S. F. Spear (Eds.), Quantitative studies in green and conservation criminology: The measurement of environmental harm and crime (pp. 198–217). Routledge. https://doi.org/10.4324/9780429453946-11